The Python programming language has gained a lot of popularity in recent years, mainly in applications of data analysis, machine learning, deep learning, and quantitative finance. In finance industry, most banks, hedge funds, pension funds, insurance companies, fintechs, among others use Python to perform several tasks like data cleaning, feature engineering, derivative valuation, algorithmic trading, credit scoring, econometrics, and portfolio optimization. These companies noted the advantages of Python over proprietary software based on graphical interfaces or proprietary programming languages, which limit the ability of quantitative analysts to analyze large volumes of information and make it difficult to design customized models for real-world applications.